Remote Data Engineer - Build scalable data pipelines & BI

HomeServe UK

London

Hybrid

GBP 50,000 - 80,000

Full time

14 days+
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Benefits offered by this job

Comprehensive private medical plan
HomeServe Money pension plan with company matching
Generous vacation and sick leave policies
Opportunities for professional growth
Remote work and flexible working hours

Job summary

A pioneering startup under the HomeServe brand is seeking a Data Engineer to join their team. In this role, you will be responsible for building and managing data pipelines that provide timely and accurate information to support business analytics and operations. Ideal candidates should have a Bachelor’s degree in a related field and practical experience with data engineering tools such as Python and AWS. This full-time position offers a hybrid work environment and a competitive salary, alongside an extensive benefits package including healthcare coverage and professional development opportunities.

Qualifications

  • Experience of Data Engineering using tools such as DBT, Spark, Python, AWS Athena.
  • Great numerical and analytical skills.
  • Experience with languages such as SQL, Python and similar.

Responsibilities

  • Implement data flows to connect operational systems, data for analytics and business intelligence (BI) systems.
  • Write ETL (extract, transform, load) scripts and code to ensure the ETL process performs optimally.
  • Develop business intelligence reports that can be reused.

Skills

Data Engineering
Python
SQL
AWS
DBT

Education

Bachelor's degree in Computer Science, Statistics, Engineering, Science or a related field

Tools

DBT
AWS Athena
Spark

Job description

A pioneering startup under the HomeServe brand is seeking a Data Engineer to join their team. In this role, you will be responsible for building and managing data pipelines that provide timely and accurate information to support business analytics and operations. Ideal candidates should have a Bachelor’s degree in a related field and practical experience with data engineering tools such as Python and AWS. This full-time position offers a hybrid work environment and a competitive salary, alongside an extensive benefits package including healthcare coverage and professional development opportunities.
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